Date – 27th February 2015
Time – 6:00PM IST
High Frequency trading uses complex algorithms to analyze markets and cutting-edge technological tools achieve fastest speed in implementation.
In this webinar, we learnt how machine learning techniques can help us design better trading strategies. We learnt about alpha in trading and how we can extract it by applying the knowledge about the market structure and order flow. We also understood how to use machine learning for predicting asset paths. The webinar was open to everyone who has interest in understanding the high frequency trading and using Artificial Intelligence for trading.
Instructor – Sameer Kumar
Sameer is a director and faculty at QuantInsti. In Executive Programme in Algorithmic Trading, he teaches students to build the low latency systems as well as strategies involving artificial intelligence. Sameer has been leading the infrastructure development team along with the low latency programming division at iRageCapital Advisory Private Ltd for more than 5 years now.
To learn how to implement machine learning for Trading, join us for our upcoming webinar on Machine Learning.
If you’re a retail trader or a tech professional looking to start your own automated trading desk, start learning high-frequency trading today! Begin with basic concepts like automated trading architecture, market microstructure, strategy backtesting system and order management system. You can also enrol in our algorithmic trading course EPAT which is one of the most extensive certification programmes available in the industry.